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Showing 6 of 106 academic articles

AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang • JMIR Medical Informatics (2025)

This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function...

DOAJ Open Access (DOAJ) DOI: 10.2196/73995

Identification of Aspergillus at section and species levels by artificial intelligence-based microscopic morphology image recognition

Meng Tan, Zhe Guo, Yanyi Wang, Xinyi Xu et al. • Journal of Clinical Microbiology (2026)

ABSTRACT Rapid and accurate identification of Aspergillus species in clinical microbiology laboratories is crucial for aspergillosis diagnosis and antifungal therapy. However, traditional methods still face challenges in distinguishing phyl...

DOAJ Open Access (DOAJ) DOI: 10.1128/jcm.00012-26

Artificial Intelligence in Cardiology

Kipp W. Johnson, Jessica Torres Soto, Benjamin Scott Glicksberg, Khader Shameer et al. • Journal of the American College of Cardiology (2018)

Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial ...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.jacc.2018.03.521

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Rohit Sharma, Raghvendra Kumar, Suresh Chandra Satapathy, Nadhir Al-Ansari et al. • Frontiers in Environmental Science (2020)

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yam...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2020.581591

Integrating Merkle Trees with Transformer Networks for Secure Financial Computation

Xinyue Wang, Weifan Lin, Weiting Zhang, Yiwen Huang et al. • Applied Sciences (2024)

In this paper, the Merkle-Transformer model is introduced as an innovative approach designed for financial data processing, which combines the data integrity verification mechanism of Merkle trees with the data processing capabilities of th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14041386

A meta-analysis of the relation between math anxiety and math achievement.

Connie Barroso, Colleen M. Ganley, Amanda L. McGraw, Elyssa A. Geer et al. • Psychological Bulletin (2020)

Meta-analyses from the 1990s have previously established a significant, small-to-moderate, and negative correlation between math achievement and math anxiety. Since these publications, research has continued to investigate this relation wit...

OPENALEX other-oa DOI: https://doi.org/10.1037/bul0000307 PMC: 8300863